Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud
About this ebook
Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle from ingestion to activation in a cloud environment using real-world enterprise architectures. You'll learn how to transform, secure, and modernize familiar solutions like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage.
You'll learn how to:
- Design a modern and secure cloud native or hybrid data analytics and machine learning platform
- Accelerate data-led innovation by consolidating enterprise data in a governed, scalable, and resilient data platform
- Democratize access to enterprise data and govern how business teams extract insights and build AI/ML capabilities
- Enable your business to make decisions in real time using streaming pipelines
- Build an MLOps platform to move to a predictive and prescriptive analytics approach
About the author
Marco is a seasoned digital consultant with over 10 years of experience in helping organizations around the world implement digital transformation strategies using cloud computing. In his last role at Google Cloud, he led a team of Principal Architects and Customer Engineers who helped Italian financial and insurance firms adopt and use cloud data technologies to solve business problems. He also previously led the European Data Analytics practice at Google Cloud and held consulting roles at other major firms such as Microsoft and Accenture.
Firat is an adjunct professor at the University of Manchester and a Senior Product Manager in Google Cloud. Firat has over 20 years of experience in designing and delivering bespoke information systems for some of the world's largest research, education, telecommunications, finance and retail organizations. Following roles within National Supercomputing Services and National Centre for Text Mining, he has over 30 publications in the areas of Parallel Computing, Big Data, Artificial Intelligence and Computer Communications.
